📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company IBM 👥 Experience Freshers / 0–1 year 🎓 Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related quantitative discipline 📅 Eligible Batch 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15.0–₹28.0 LPA 🏢 Industry Technology 🛠 Key Skills Data pipeline architecture ETL/ELT development data warehousing big data processing schema design data modeling cloud data integration Google Cloud Platform Data Engineer - Google Data Platforms at IBM — Full Details & How to Apply IBM is hiring for a Data Engineer - Google Data Platforms role in Gurugram, Haryana, India , offering hands-on experience with Google Cloud Platform and real-world data pipeline development for freshers. This position is part of IBM ’s structured recruitment for 2025, 2026 graduates and provides direct exposure to core technologies like Apache Spark and BigQuery in a hybrid work environment. This Data Engineer - Google Data Platforms role focuses on designing and maintaining data pipelines using ETL/ELT development , data warehousing , and schema design . Candidates will build and test robust data architectures that ensure efficient data processing and integration on Google Cloud Platform , supporting data accessibility and performance within IBM ’s technology ecosystem. The job posting identifies IBM as a technology company offering a role in Gurugram, Haryana, India with a focus on cloud data integration and data modeling . The role is part of IBM ’s recruitment process for new graduates, emphasizing technical skill development in data engineering using industry-standard tools. 2025, 2026 graduates with a Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related quantitative discipline are eligible. Candidates must have Freshers / 0–1 year experience and will earn a salary range of ₹15.0–₹28.0 LPA . Applicants will gain practical experience in data pipeline architecture , ETL/ELT development , data warehousing , big data processing , schema design , data modeling , and cloud data integration using Google Cloud Platform . This role provides a foundation for progression into senior data engineering or data science roles within technology organizations. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Data Engineer - Google Data Platforms at IBM is responsible for building and maintaining end-to-end data pipelines using Google Cloud Platform tools, ensuring data is reliably ingested, processed, and stored for analytics. This role directly supports data warehouse operations and enables business analysts to access accurate, timely data for decision-making. Design data pipeline architecture using Google Cloud Platform to ensure scalable, fault-tolerant data flow between sources and storage systems. Construct robust data pipelines in BigQuery and Dataflow to process batch and streaming data from heterogeneous sources. Build ETL/ELT pipelines using Apache Spark to transform raw data into structured formats for loading into data warehouses . Collaborate with data scientists to refine data models and optimize query performance in SQL -based environments. Implement automated data validation checks using Google Cloud Dataflow to detect anomalies and ensure data integrity at ingestion. Maintain existing data pipelines in BigQuery and Dataflow , monitoring performance metrics such as latency and throughput to meet SLA targets. Document data processing workflows and pipeline configurations in Google Cloud Console for auditability and team onboarding. Troubleshoot pipeline failures in Google Cloud Storage and Dataflow logs to restore data flow and prevent service interruptions. This role requires direct ownership of pipeline performance, where every data validation step, schema design decision, and error recovery process impacts the reliability of downstream analytics and reporting systems. Required Skills & Technical Competencies The role demands a strong foundation in data pipeline architecture , ETL/ELT development , and cloud data integration to deliver scalable, production-grade data systems. Candidates must demonstrate hands-on experience with Google Cloud Platform tools and data processing frameworks. Technical Skills Data pipeline architecture — entry — used to design systems that manage data flow from source to BigQuery with defined schema design and error handling. ETL/ELT development — entry — applied to build batch and streaming pipelines using Apache Spark and Google Cloud Storage for data transformation. Data warehousing — entry — used to organize large-scale data in BigQuery for efficient querying and reporting by business analysts. Big data processing — entry — executed via Apache Spark to process terabyte-scale datasets in Google Cloud Dataflow with minimal latency. Schema design — entry — implemented in BigQuery to define column types, constraints, and relationships for consistent data access. Data modeling — entry — used to create normalized data structures in Google Cloud Storage and BigQuery to support analytical queries. Cloud data integration — entry — leveraged to connect on-premise and cloud systems using Google Cloud Platform services for real-time data sync. When preparing your resume, emphasize specific projects where you used Apache Spark , BigQuery , or Dataflow to build and validate data pipelines with measurable performance outcomes. Eligibility Criteria This role is designed for fresh graduates with a Bachelor's or Master's degree in Computer Science , Information Technology , or a related quantitative discipline, who have completed their studies in 2025 or 2026 . Must hold a Bachelor's or Master's degree in Computer Science , Information Technology , Data Engineering , or a related quantitative field. Eligible only for 2025 and 2026 academic batches. Experience requirement is limited to 0–1 year , making it accessible to new graduates with minimal industry exposure. No CGPA or academic performance threshold is specified in the job posting. Project work, internships, or certifications are not required but may be included in portfolio submissions. Documentation & Portfolio Requirements Your resume must clearly list relevant academic projects, such as Apache Spark pipeline implementations or BigQuery schema designs, with technical details and outcomes. Include a brief description of each project, specifying tools used and data volume processed. For this role, prioritize showcasing hands-on experience with Google Cloud Platform tools like BigQuery and Dataflow , and include a project where you built a data pipeline using Apache Spark and validated data quality through automated checks. Salary for Data Engineer - Google Data Platforms at IBM 💰 Compensation ₹15.0–₹28.0 LPA The advertised compensation for the Data Engineer - Google Data Platforms role at IBM is ₹15.0–₹28.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Engineer - Google Data Platforms Upskilling with the right resources significantly enhances your chances of selection for this specific role, ensuring you meet the technical requirements effectively. Recommended Courses & Resources Data pipeline architecture — This course provides essential knowledge for building robust data pipelines, a key responsibility in this role. KodNest — Offers hands-on experience with data engineering tools and practices relevant to the job. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in data pipeline architecture — Ensure to include relevant projects or coursework. ❌ Using a generic resume — Tailor it to align with the specific responsibilities outlined in the job description. ❌ Listing technologies without context — Provide context on where technologies like Google Cloud Platform were applied. ❌ Ignoring qualification requirements — Verify that you meet the specified qualifications to avoid disqualification. ❌ Adding unrelated technologies — Avoid unsupported claims that may backfire during the review process. ❌ Failing to verify the official Apply URL — Always check the URL before submission to prevent application errors. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Engineer - Google Data Platforms Optimizing your resume for ATS is crucial for this role, ensuring that your application passes initial screenings and reaches hiring managers. ATS Keywords to Include Data pipeline architecture ETL/ELT development Data warehousing Big data processing Schema design Data modeling Cloud data integration Google Cloud Platform SQL Python Apache Spark Airflow Resume Tips for This Role Highlight your experience with data pipeline architecture prominently, as it is a critical requirement for the role. Emphasize familiarity with Google Cloud Platform and tools like BigQuery and Apache Spark, as these are essential for the job. Include a project that showcases your skills in ETL/ELT development or data warehousing , as these are key responsibilities. Use exact keywords from the job description naturally in your resume to improve ATS alignment without overstuffing. Avoid adding unsupported claims about technologies or experiences that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated experiences or unsupported claims in your resume, as they can detract from your qualifications for this role. How to Apply for Data Engineer - Google Data Platforms at IBM Search Similar Jobs on NexisGrow Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. <li>Record the application date and monitor the official company portal or registered email for updates.</li> Applications reviewed on rolling basis — early submission recommended. Search Similar Jobs on NexisGrow NexisGrow.com does not charge any fees for job applications. IBM IBM is a technology company based in Gurugram, Haryana, India. This role operates in a hybrid work mode within the technology industry, focusing on data engineering and cloud services using Google Cloud Platform technologies. The team designs and maintains data pipelines, develops ETL/ELT processes, and implements data warehousing and schema design . They collaborate with data scientists and software engineers to ensure efficient data ingestion and performance. This role supports IBM ’s focus on cloud-based data engineering, offering hands-on experience with Google Cloud Platform tools like BigQuery and Dataflow. Early-career professionals gain exposure to core data engineering tools including Python, SQL, and Apache Spark, building foundational skills in pipeline architecture and cloud integration. Company Details Industry Technology Location Gurugram, Haryana, India Connect With Us Careers Apply Now Frequently Asked Questions Interview &middot; Role &middot; Salary &middot; Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related fields from the 2025 and 2026 batches can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include data pipeline architecture, ETL/ELT development, data warehousing, and proficiency in Google Cloud Platform tools. ? What is the expected salary for this position? Salary Tap to expand + Answer The expected salary for this position is ₹15.0–₹28.0 LPA. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review data pipeline architecture, familiarize yourself with Google Cloud Platform, practice SQL queries, understand ETL processes, and prepare to discuss collaborative projects. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The role is hybrid, allowing for a combination of remote and onsite work in Gurugram. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to data engineering tools and responsibilities, enhancing skills in data pipeline management and cloud integration. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in data pipeline architecture, ETL/ELT development, and familiarity with Google Cloud Platform tools. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with data scientists, business analysts, and software engineers, fostering a team-oriented work environment. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers with the required qualifications can apply for this role. 🔗 Explore More on NexisGrow More jobs in Gurugram Browse all Tech jobs Latest Fresher jobs More jobs at IBM Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath &bull; NexisGrow.com